ODOT‘s Snow and Ice Performance Evaluation Tools - A Student Transportation Advancement Research (STAR) Project [Fact Sheet]

Details

• Creators:
  Masanja, Ntemi Methusela ; Mihayo, Meshack P ; Kidando, Emmanuel ; Owusu-Danquah, Josiah
• Corporate Creators:
  Cleveland State University
• Corporate Contributors:
  Ohio Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Evaluation Snowfall Weather Forecasting Winter Maintenance
• Resource Type:
  Brief
• Geographical Coverage:
  Ohio ; United States
• Edition:
  Fact Sheet
• Corporate Publisher:
  Ohio. Department of Transportation
• Abstract:
  Severe winter weather poses a significant threat to road users, primarily due to slippery road surfaces, which considerably increase the risk of crashes and injuries. Additionally, such conditions can disrupt traffic flow on highways, causing speed reductions, decreased highway capacity, or even complete traffic lockdowns. Most Departments of Transportation (DOTs) in snowy regions rely on Road Weather Information Systems (RWIS) as their primary source of weather data. However, RWIS has several limitations including downtime, erroneous data due to system or equipment failure, and the high cost of installation and operation, resulting in a limited number of stations across states. This necessitates the need for alternative weather data sources to complement RWIS. The primary goal of this project is to identify alternative sources of weather data to supplement and complement the Ohio Department of Transportation (ODOT) RWIS for winter maintenance operations. Several sources have been identified from the literature that can provide alternative weather data. Based on the accessibility and reliability of these data sources, four potential sources are proposed that can be used by ODOT: Automated Surface Observing System (ASOS), Next Generation Weather Radar (NEXRAD), Meteorological Assimilation Data Ingest System (MADIS), and Multi-Radar/Multi-Sensor System (MRMS). The research team developed and implemented data scraping frameworks that can be integrated into the ODOT snow and ice performance and evaluation tool.
• Format:
  PDF
• Funding:
  40189
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:8bdb95fda5324e81afc27d0b0e235e9bca5448816b914dd7505cba24d668b4fc5e7bbb26ae8b53aa42d7aca2214100178db6105b80fc2133f845566007abee29
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/86076/dot_86076_DS1.pdf
• File Type:
  [PDF - 165.85 KB ]